Systems and methods for intelligent market trading

Abstract

A system for intelligent market trading implemented with a neural network system (Machine Learning) comprising an input, one or more processors and an output. The input comprises a database of price of a symbol and a pair in a timeframe. The first processor is configured to receive the respective input to generate a technical analysis, a trading signal, and a market report with a probability value. The second processor generates a coefficient for regulating the probability value of the generated trading signals and technical analysis using fuzzy logic systems alongside of a neural network system. The third processor computes the correlation coefficient of symbols under Mesh topology and regulates the resultant probability value of each trading signals and technical analysis. The output comprises a processor to receive and evaluate the individual resultant probability values of the generated trading signals and technical analysis and delivers an output data. The output data is sent via notification to a user for detecting a suitable spot for placing their orders in the financial market.

Description

BACKGROUND OF THE INVENTION[0001]Market risk is the possibility for a trader to experience losses due to factors that affect the overall performance of the financial markets in which he is involved. Most of the traders may have insufficient time to monitor the financial market price chart to detect a suitable spot for placing their orders. Even with sufficient time, other traders could not monitor a desired symbol and pair within the set of symbol and pair in the price chart. Most of the traders find it difficult to calculate the effect of each symbol and pair on other symbols and pairs. The trader requires years of profound experience and financial knowledge to place the orders on distinguishing technical analysis patterns and applying a valid strategy on desired symbol and pair by combining multiple strong indicators and other trading tools.[0002]The technical analysis and trading signals are generated based on strategies, which must be developed by accurate and effective indicato...

AI Technical Summary

Benefits of technology

The system enhances trading efficiency by generating multiple strategies with high success rates, accounting for news and economic impacts, and calculating correlations, thereby improving trading pattern detection and risk management.

Problems solved by technology

Market risk is the possibility for a trader to experience losses due to factors that affect the overall performance of the financial markets in which he is involved.

Most of the traders may have insufficient time to monitor the financial market price chart to detect a suitable spot for placing their orders.

Even with sufficient time, other traders could not monitor a desired symbol and pair within the set of symbol and pair in the price chart.

Most of the traders find it difficult to calculate the effect of each symbol and pair on other symbols and pairs.

Further, these existing technical analysis and trading signals are generated on very limited number of patterns and indicators with static strategies.

Prior art systems are unequipped with suitable means for utilizing fundamental analysis from the financial experts, which could be implemented on the generated trading signals and technical analysis.

The unexpected results from the economic or breaking news is unaccounted on real-time basis in the conventional systems.

News and economic conditions were also never utilized and implemented on the generated trading signals and technical analysis in the conventional systems.

Further, the conventional systems could not evaluate the correlation between symbols and pairs, and calculate the effects of symbols and pairs on each other.

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